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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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2) a, b, and c.
Solve them step by step.

Transcribed Image Text:2)- Industrial engineers periodically.conduct "work measurement' analysis to determine the time required to produce a
single unit of output. At a large processing plant, the number of total worker-hours required per day to perform a certain
task was recorded for 50 days. The data are shown here:
128
119
95
97
124
128
142
98
108
120
113
109
124
132
97
138
133
136
120
112
146
128
103
|135
114
109
100
111
131
113
124
131
133
|131
88
118
116
98
112
138
100
112
111
150
117
122
97
116
92
122
a) Compute the mean, median, and mode of the data set.
b) Find the range, variance, and standard deviation of the data set.
c) Construct the interval y to, y ± 2o, and y + 30. count the number of observations that fall within each
interval and find the corresponding proportions. Compare the results to the Empirical Rule. Do you detect any outliers?
d) Construct a box plot for the data. Do you detect any outliers?
e) Find the 70th percentile for the data on total daily worker-hours. Interpret its value.
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